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Gregor Bachmann

Gregor Bachmann has 2 papers in our library, in 2024–2025, most of them on Tokenization & segmentation; often with Tiago Pimentel.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 17 · 162 works · 962 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 41 times in our library · ⭐ Paper Stars ranking: #9937

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓ETH ZurichZurich · Switzerland1976–2025 · 17 papers🎓Justus-Liebig-Universität GießenGiessen · Germany1993–2011 · 17 papers🎓University of CologneCologne · Germany1996–2001 · 8 papers🏥Kerckhoff KlinikBad Nauheim · Germany2001–2011 · 6 papers🏥University Hospital of North NorwayTromsø · Norway2002–2004 · 6 papers🏥Klinik und Poliklinik für Hals-, Nasen-, OhrenheilkundeCologne · Germany1996–2001 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Tokenization & segmentation · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The pitfalls of next-token prediction (2024 · 39 citations)
    The authors test whether a model trained only to predict the next token can solve tasks where the answer has to be planned in advance.
  2. Tokenisation is NP-Complete (2025 · 4 citations)
    Popular subword tokenisers such as BPE and UnigramLM rely on greedy or heuristic training. They are therefore not guaranteed to reach the best value of the objective they target. This paper asks whether an optimal tokeniser can be found efficiently when the objective is compression, meaning the tokenised dataset…

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 41 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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